Radiology
Radiology image workflows, made clearer.
Corcillum helps radiology and research teams annotate, process and manage complex medical imaging datasets with greater speed, structure and confidence.
making the
invisible
visible
invisible
visible

$1.2 billion
spent on medical imaging research globally
Capabilities
Advancing radiology insights and care

True vs False Positives
Better data supports better interpretation.
Corcillum helps teams create more consistent, structured and reproducible annotations, reducing manual variability and supporting clearer analysis across complex imaging datasets.

Complex Imaging Data
Bring order to complex datasets.
Clarity Cloud supports multi-modal imaging integration, including DICOM and NIfTI, helping teams consolidate workflows and manage imaging data in one secure environment.

Beyond Manual Annotation
Faster annotation without sacrificing control.
Corcillum’s AI-assisted annotation tools are designed to reduce repetitive manual effort while keeping expert oversight at the centre. Teams can use automated segmentation, contouring and labelling to accelerate workflows, while quality control processes support consistency, accuracy and research-grade outputs.

Near Real-Time
Keep research and trials moving.
Time-intensive image analysis can slow research, delay trials and limit throughput. Corcillum helps teams process imaging data faster, collaborate more easily and prepare datasets for downstream analysis, AI training, validation and reporting.

Unique, Patented
AI, research and scalable imaging innovation.
Corcillum brings together secure cloud infrastructure, AI-powered annotation, flexible workflows and custom processing to support radiology teams, research institutes, medical device companies, pharmaceutical organisations and AI developers.
Whether you need to prepare labelled datasets, validate models or streamline imaging workflows, the platform can be adapted to your use case.
Whether you need to prepare labelled datasets, validate models or streamline imaging workflows, the platform can be adapted to your use case.
Use cases
Built for Radiology imaging teams
working at scale.
Radiology and research institutes
Improve efficiency, precision and reproducibility in medical imaging workflows.
Clinical trials
Support structured, imaging-based trial workflows with secure data handling and high-quality annotation.
AI developers
Train and validate AI models with labelled datasets, quality-controlled annotations and scalable image processing.
Medical device and pharmaceutical companies
Support research, development and validation workflows with adaptable imaging infrastructure.